Eitaro Aiyoshi

607 total citations
59 papers, 424 citations indexed

About

Eitaro Aiyoshi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Eitaro Aiyoshi has authored 59 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 12 papers in Control and Systems Engineering. Recurrent topics in Eitaro Aiyoshi's work include Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Advanced Optimization Algorithms Research (10 papers). Eitaro Aiyoshi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Advanced Optimization Algorithms Research (10 papers). Eitaro Aiyoshi collaborates with scholars based in Japan. Eitaro Aiyoshi's co-authors include Yo Ishizuka, Takashi Okamoto, Yôko Kobayashi, Keiichiro Yasuda, Tsunenori Arai, Emiyu Ogawa, Ryohei Suzuki, Tetsuro Matsui, Kiyotaka Shimizu and Yoshikazu Fukuyama and has published in prestigious journals such as Automatica, Annals of Operations Research and Mathematics and Computers in Simulation.

In The Last Decade

Eitaro Aiyoshi

52 papers receiving 408 citations

Peers

Eitaro Aiyoshi

CSE

CTM

Martin Schlüter Germany

Ulrike Baumgartner Austria

Mert Sinan Turgut Türkiye

Qiang Long China

Vladimir Stanovov Russia

Anita Anita Indonesia

Mohamadreza Ahmadi United States

Saroj Kumar Sahoo India

Wu Song China

Qunfeng Liu China

Martin Schlüter Germany

Eitaro Aiyoshi

86 ×0.6

84 ×0.6

CSE

74 ×0.5

CTM

21 ×0.4

46 ×1.0

Citations per year, relative to Eitaro Aiyoshi Eitaro Aiyoshi (= 1×) peers Martin Schlüter

Countries citing papers authored by Eitaro Aiyoshi

Since Specialization

Citations

This map shows the geographic impact of Eitaro Aiyoshi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eitaro Aiyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eitaro Aiyoshi more than expected).

Fields of papers citing papers by Eitaro Aiyoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eitaro Aiyoshi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eitaro Aiyoshi. The network helps show where Eitaro Aiyoshi may publish in the future.

Co-authorship network of co-authors of Eitaro Aiyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Eitaro Aiyoshi. A scholar is included among the top collaborators of Eitaro Aiyoshi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eitaro Aiyoshi. Eitaro Aiyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aiyoshi, Eitaro, Kenichi Tamura, & Keiichiro Yasuda. (2020). Integrated Optimization Method with Active Learning for Bi-level Optimization Problems. Transactions of the Society of Instrument and Control Engineers. 56(5). 317–326.

Aiyoshi, Eitaro, et al.. (2015). Improvement on Differential Evolution by Proposing Rotation Invariant Hypersphere Crossover. Transactions of the Society of Instrument and Control Engineers. 51(7). 503–511.

Aiyoshi, Eitaro, et al.. (2014). Computational Properties of Hybrid Methods with PSO and DE. Electronics and Communications in Japan. 97(4). 58–66. 2 indexed citations

Aiyoshi, Eitaro, et al.. (2011). On the memorization accuracy of autoassociative memory models. Society of Instrument and Control Engineers of Japan. 530–536. 1 indexed citations

Aiyoshi, Eitaro, et al.. (2010). The robustness of a Nash equilibrium simulation model: Game-theoretic approach using variable metric projection method. Mathematics and Computers in Simulation. 81(7). 1518–1526. 1 indexed citations

Aiyoshi, Eitaro, et al.. (2009). The Robustness of a Nash Equilibrium Simulation Model. Congress on Modelling and Simulation. 1100–1106. 1 indexed citations

Okamoto, Takashi & Eitaro Aiyoshi. (2008). Global optimization with the PSO coupling‐type discrete gradient chaos model. Electrical Engineering in Japan. 165(4). 67–75. 2 indexed citations

Aiyoshi, Eitaro, et al.. (2007). The Search for Nash Equilibrium Solutions with Replicator Equations Derived from Gradient Dynamics on a Simplex. Transactions of the Society of Instrument and Control Engineers. 43(2). 118–127. 1 indexed citations

Okamoto, Takashi & Eitaro Aiyoshi. (2007). Global optimization using a synchronization of multiple search Points autonomously driven by a chaotic dynamic model. Journal of Global Optimization. 41(2). 219–244. 32 indexed citations

10.

Okamoto, Takashi & Eitaro Aiyoshi. (2006). The Improved Draining Method and Its Application to Proper Benchmark Problems. 2006 SICE-ICASE International Joint Conference. 2190–2195. 5 indexed citations

11.

Kobayashi, Yôko & Eitaro Aiyoshi. (2002). Optimization of Boiling Water Reactor Loading Pattern Using Two-Stage Genetic Algorithm. Nuclear Science and Engineering. 142(2). 119–139. 18 indexed citations

12.

Aiyoshi, Eitaro, et al.. (1999). Gradient Systems with Diffusively Coupled Many-Bodies for Optimization Problems and Their Realization by Neural Networks. Transactions of the Society of Instrument and Control Engineers. 35(3). 435–443. 1 indexed citations

13.

Aiyoshi, Eitaro, et al.. (1996). Fundamentals of Multi-Dimensional State Transition by Neurons with Multi-Inputs and Multi-Outputs and Their Applications to Combinatorial Optimization. Transactions of the Society of Instrument and Control Engineers. 32(2). 231–240.

14.

Aiyoshi, Eitaro, et al.. (1993). The Neural Network's Learning Algorithm Based on the Manner of Minimizing the Maximum Error by a Non-Differentiable Optimization Technique. Transactions of the Society of Instrument and Control Engineers. 29(10). 1203–1212.

15.

Aiyoshi, Eitaro, et al.. (1992). A Meta-Optimization Problem for Global Optimization and Its Solution by the Genetic Algorithm. Transactions of the Society of Instrument and Control Engineers. 28(8). 999–1006. 1 indexed citations

16.

Aiyoshi, Eitaro, et al.. (1992). An application of optimal control analysis to the lifecycle model. Mathematics and Computers in Simulation. 33(5-6). 533–538. 1 indexed citations

17.

Aiyoshi, Eitaro. (1987). A New Solution Method via the Exterior Penalty Approach for Constrained Bilevel Programming Problems. Transactions of the Society of Instrument and Control Engineers. 23(9). 985–992. 1 indexed citations

18.

Aiyoshi, Eitaro. (1984). Stability Theory for Equality and Inequality Constrained Optimization Problems. Transactions of the Society of Instrument and Control Engineers. 20(6). 564–566. 2 indexed citations

19.

Aiyoshi, Eitaro & Kiyotaka Shimizu. (1979). Min-Max Programming. Transactions of the Society of Instrument and Control Engineers. 15(6). 754–761. 1 indexed citations

20.

Shimizu, Kiyotaka, Eitaro Aiyoshi, & Tetsuo Ueno. (1977). Decentralized Optimization Systems and Their Application to a Class of Transportation Problem. Transactions of the Society of Instrument and Control Engineers. 13(6). 561–568. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact